Born and brought up in a city which loves food - Kozhikode (Kerala, India) - I'm a foodie who loves to read and travel. The ever-fascinating field of robotics and automation is what carried me into the field of technology. I'm excited by the development that deep learning (DL) research has brought in the realm of computer vision and speech processing and am currently exploring the possibilities of deploying large DL models on low power devices. To know more about my education, professional experience and projects scroll down.
2018 - Present
IIT Bombay
Mumbai, Maharashtra
2012 - 2016
NIT Calicut
Kozhikode, Kerala
2010 - 2012
Presentation HSS
Kozhikode, Kerala
2016 - 2018
Royal Philips (Healthcare), BLR, India
Aswin, P. K., P. Shyama, and Lyla B. Das. Indoor localization using visible light communication and image processing 2018 IEEE International Conference on Consumer Electronics (ICCE). IEEE, 2018. Link
Python-based basic Image Editor application with interactive GUI for performing image processing operations such as histogram computation, histogram equalization, gamma correction, log transform, image negative, blurring, sharpening and edge detection.
Python-based GUI application for combining multiple images of the same scene, with overlapping regions, to produce an image of larger resolution. The application uses SIFT for feature detection, FLANN for feature matching and RANSAC for homography computation.
Indoor localization and high speed data transfer using Visible Light Communication (VLC) - project implemented an indoor localization system which can accurately locate/ track the position of a stationary/ mobile object within a building. Published in IEEE ICCE 2018
Python-based image restoration application with GUI which implements and analyzes few image restoration techniques, without using existing image processing libraries. The application was tested against a set of degraded images with varying levels of noise (AWGN) and known/ unknown blur kernels.
Built a hand-held probe unit that captures voltage signals, processes and sends the information via USB cable to a PC. A Windows application was developed to capture and plot the waveform received from USB. The device realizes a cheap portable alternative to most mainstream oscilloscopes.
